Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Advances in the molecular understanding of disease have already had widespread practical applications. Pre-genomic molecular biology produced diagnostics such as prostate specific antigen screening ...

Gen Z is changing how consumers discover, trust and buy from brands. Ella Thomas, global sector specialist for consumer staples at Schroders, explores how this shift is reshaping loyalty, trend cycles ...

The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering students from the Class of 2026 for Summer Internships. The department ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

Explore how proteomics supports pre-symptomatic disease detection, from mass spectrometry advances to multi-omics models and clinical validation challenges.

EAE-induced neuroinflammation. Using immuohistochemistry, flow cytometry, and single-cell RNAseq of doublets to interrogate cell-cell interactions, the authors provide solid evidence that macrophages, ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

The cancer stem cell (CSC) paradigm is pivotal for understanding tumor progression, relapses, and therapeutic failure. Endowed with self-renewal, ...